Tech-Blogs

My blogs are written simultaneously with my study. It’s for anyone curious about how different tech works without getting lost in heavy math or long theory (sadly, like myself). I am trying to use simple words and small, easy-to-follow code examples to show the workflow behind each technology. The goal is to make learning feel less intimidating: I can see how things work in practice, not just in equations. The blog list is actively updated, and the jupyter file will be attached after summarization.

• Generative Models

1. Generating Adverserial Networks (GANs)
2. Autoregressive Models
3. Variational Auto Encoder (VAE) Models
4. Diffusion Models
5. Flow Matching Models
6. A Unified Perspective for Gaussian Diffusion and Flow Matching Models – An Insightful Blog Written by Ruiqi Gao, et al.
7. Rectified Flow Matching

• Geometric Learning

1. Preliminary Explainations of Jargons in Group Equivariance Learning
2. Group Equivariance
3. Tensor-Product based SO(3) Equivariant Model